Search Results - "Karaağaoğlu, Ahmet Ergun"
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Evaluation of GDx parameters by using information theory
Published in Turkish journal of medical sciences (2011)“…Amaç: Bu çalışmanın amacı glokom tanısında kullanılan GDx parametrelerinin performanslarını bilgi kuramı ile değerlendirmek ve geleneksel yöntemlerden biri…”
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Sequential test selection by quantifying of the reduction in diagnostic uncertainty for the diagnosis of proximal caries
Published in Balkan medical journal (01-06-2013)“…In order to determine the presence or absence of a certain disease, multiple diagnostic tests may be necessary. Performance of these tests can be sequentially…”
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A statistical approach to evaluate the performance of cardiac biomarkers in predicting death due to acute myocardial infarction: time-dependent ROC curve
Published in Turkish journal of medical sciences (30-04-2018)“…Background/aim: Myoglobin, cardiac troponin T, B-type natriuretic peptide (BNP), and creatine kinase isoenzyme MB (CK-MB) are frequently used biomarkers for…”
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Development of Biostatistics: From Past to Future
Published in Duzce medical journal (30-12-2021)“…Biostatistics which is the application of statistics in the field of health and biology; provides powerful tools for creating questions, designing studies,…”
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Information Theoretic Approach to Assess Diagnostic Value of Computerized Tomographic Coronary Angiography
Published in Journal of the American College of Cardiology (29-10-2013)Get full text
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MLSeq: Machine learning interface for RNA-sequencing data
Published in Computer methods and programs in biomedicine (01-07-2019)“…•Our aim was to develop an analysis tool for classification of RNA-sequencing data.•We used R programming language and developed MLSeq package. It is…”
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Factors effecting the model performance measures area under the ROC curve, net reclassification improvement and integrated discrimination improvement
Published in Communications in statistics. Simulation and computation (21-10-2019)“…The aim of this study is to investigate the impact of correlation structure, prevalence and effect size on the risk prediction model by using the change in the…”
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